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Related Concept Videos

DNA Microarrays02:34

DNA Microarrays

Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...

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Infinium Assay for Large-scale SNP Genotyping Applications
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Infinium Assay for Large-scale SNP Genotyping Applications

Published on: November 19, 2013

High-throughput identification of genetic markers using representational oligonucleotide microarray analysis.

Cornelia Lange1, Lukas Mittermayr, Juliane C Dohm

  • 1Max Planck Institute for Molecular Genetics, Ihnestr. 63-73, 14195, Berlin, Germany.

TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik
|April 10, 2010
PubMed
Summary
This summary is machine-generated.

This study introduces a new high-throughput method for developing genetic markers in crops like sugar beet. The approach efficiently identifies new DNA markers, aiding in genetic mapping and crop improvement.

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Area of Science:

  • Plant genetics
  • Molecular biology
  • Genomics

Background:

  • Developing genetic markers is crucial for crop improvement.
  • Sugar beet (Beta vulgaris L.) is a valuable crop but lacks extensive sequence information.
  • High-throughput methods are needed for efficient marker development.

Purpose of the Study:

  • To present a novel, high-throughput approach for genetic marker development.
  • To evaluate this method in sugar beet, a model crop with limited sequence data.
  • To demonstrate the cost-effectiveness and flexibility of the new technique.

Main Methods:

  • Representational oligonucleotide microarray analysis (ROMA) was employed.
  • Custom oligonucleotide arrays (146,554 probes) were designed using sugar beet BAC end sequences and ESTs.
  • Genomic representations of parental lines were hybridized to identify unique markers for genotyping F2 individuals.

Main Results:

  • 511 new dominant genetic markers were identified (392 from BAC ends, 119 from ESTs).
  • These markers were distributed across all nine sugar beet linkage groups.
  • Genetic maps were constructed using the newly developed markers.

Conclusions:

  • The novel ROMA-based approach is effective for high-throughput genetic marker development.
  • This method is feasible for crops with limited genomic resources, such as sugar beet.
  • The technique offers a cost-effective and flexible solution for generating genetic markers for crop breeding and research.